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Predicting the optimal therapeutic intervention for tinnitu..:
, In:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
,
Bromis, Konstantinos
;
Sarafidis, Michail
;
Manta, Ourania
... - p. 2655-2658 , 2022
Link:
https://doi.org/10.1109/EMBC48229.2022.9871331
RT T1 <cTitle>2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)</cTitle>: T1 <Title>Predicting the optimal therapeutic intervention for tinnitus patients using random forest regression: A preliminary study of UNITI's decision support system model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9871331&Exemplar=1&LAN=DE A1 Bromis, Konstantinos A1 Sarafidis, Michail A1 Manta, Ourania A1 Kouris, Ioannis A1 Vellidou, Eleftheria A1 Schlee, Winfried A1 Koutsouris, Dimitrios YR 2022 SN 2694-0604 K1 Decision support systems K1 Training K1 Technological innovation K1 Computational modeling K1 Biological system modeling K1 Predictive models K1 Data models SP 2655 OP 2658 LK http://dx.doi.org/https://doi.org/10.1109/EMBC48229.2022.9871331 DO https://doi.org/10.1109/EMBC48229.2022.9871331 SF ELIB - SuUB Bremen
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